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		<title>Special Session on "When Evolutionary Computation Meets Data Mining"</title>
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		<div style="text-align:center;font-style:italic;font-size:20;">IEEE Congress on Evolutionary Computation 2017 Donostia - San Sebastián, Spain June 5-8, 2017</div>
		<br/>
		<center><h2>Special Session on "When Evolutionary Computation Meets</h2></center>
		<center><h2> Data Mining"</h2></center>
		<hr/>
<br/><br/><br/>
<b><font size="5">Introduction:</font></b>
<p/>
Many of the tasks carried out in data mining and machine learning, such as feature subset selection, associate rule mining, and model building, can be transformed as optimization problems. Thus it is very natural that Evolutionary Computation (EC),  has been widely applied to these tasks in the fields of data mining (DM) and machine learning (ML), as an optimization technique.
<p/>On the other hand, EC is a class of population-based iterative algorithms, which generate abundant data about the search space, problem feature and population information during the optimization process. Therefore, the data mining and machine learning techniques can also be used to analyze these data for improving the performance of EC. A lot of successful applications have been reported, including the creation of new optimization paradigm such as Estimation of Distribution Algorithm, the adaptation of parameters or operators in an algorithm, mining the external archive for promising search regions, and so on.   
<p/>However, there remain many open issues and opportunities that are continually emerging as intriguing challenges for bridging the gaps between EC and DM. The aim of this special session is to serve as a forum for scientists in this field to exchange the latest advantages in theories, technologies, and practice. 
<p/>We invite researchers to submit their original and unpublished work related to, but not limited to, the following topics:
<p/>
<ul>
<li>	EC enhanced by Data Mining and Machine Learning Concepts and/or Framework</li>
<li>	Data Mining and Machine Learning Based on EC techniques	</li>
<li>	Machine Learning Enhanced and/or Model-based Multi- and/or Many-objective Optimization	</li>
<li>	Data Mining and Machine Learning Enhanced Constrained Optimization: 	</li>
<li>	Data Mining and Machine Learning Enhanced Memetic Computation or Local Search</li>
<li>	Data Mining and Machine Learning Enhanced EC for Combinatorial Optimization</li>
<li>	Data Mining and Machine Learning Enhanced EC for Large-scale Optimization</li>
<li>	Data Mining and Machine Learning Enhanced EC for Dynamic Optimization</li>
<li>	Association Rule Mining Based on Multi-Objective Optimization</li>
<li>	Knowledge Discovery in Data Mining via Evolutionary Algorithm</li>
<li>	Genetic Programming in Data Mining</li>
<li>	Multi-Agent Data Mining using Evolutionary Computation</li>
<li>	Medical Data Mining with Evolutionary Computation</li>
<li>	Evolutionary Computation in Intelligent Network Management</li>
<li>	Evolutionary Clustering in Noisy Data Sets</li>
<li>	Big Data Projects with Evolutionary Computation</li>
<li>	Deep Learning with Evolutionary Computation</li>
<li>	Real World Applications	</li>
</ul>
<p/>
<b><font size="5">Paper Submission:</font></b>
<p/>
All papers should be submitted electronically through IEEE CEC 2017 website at http://www.cec2017.org/
To submit your papers to the special session, please select the Special Session in the Main Research topic.
For more submission information please visit: http://www.cec2017.org/ 
All accepted papers will be published in the IEEE CEC 2017 electronic proceedings.
<p/>
<b><font size="5">Organizers:</font></b><p/>
<b>Zhun Fan</b><br/>
Shantou University, China<br/>
E-mail: zfan@stu.edu.cn<p/>


<b>Shi Cheng</b><br/>
Shaanxi Normal University, China<br/>
E-mail: shi.cheng@live.com<p/>

<b>Xinye Cai</b><br/>
Nanjing University of Aeronautics and Astronautics, China<br/>
E-Mail: xinye@nuaa.edu.cn<p/>
<b>Chuan-Kang Ting</b><br/>
National Chung Cheng University, Taiwan<br/>
E-Mail: ckting@cs.ccu.edu.tw<br/><p/>

<b>Bin Li </b><br/>
University of Science and Technology of China, China<br/>
E-mail: binli@ustc.edu.cn<p/> 
 
<b>Yaochu Jin</b><br/>
University of Surrey, UK<br/>
Email: yaochu.jin@surrey.ac.uk<p/>



<b>Yuhui shi</b><br/>
Southern University of Science and Technology, China<br/>
E-mail: shiyh@sustc.edu.cn<p/>


<p/>
<b><font size="5">Program Committee (Provisional):</font></b><br/>
<ul>
<li>	Aimin Zhou, East China Normal University, China</li>
<!-- <li>	Bin Li, University of Science and Technology of China, China</li> -->
<li>	Ke Tang, University of Science and Technology of China, China</li>
<li>	Hailin Liu, Guangdong University of Technology, China</li>
<li>	Hui Li, Xi’an Jiaotong University, China</li>
<li>	Wei-Neng Chen, Sun Yat-Sen University, China</li>
<li>	Xiao-Min Hu, Sun Yat-Sen University, China</li>
<li>	Zhi-Hui Zhan, Sun Yat-Sen University, China</li>
<li>	Yue-Jiao Gong, Sun Yat-Sen University, China</li>
<li>	Ying-Lin, Sun Yat-Sen University, China</li>
<li>	Jing Liang, Zhenzhou University, China </li>
<li>	Kai Qin, RMIT University, Australia</li>
<li>	Xiaodong Li, RMIT University, Australia</li>
<li>	Kay Chen Tan, National University of Singapore, Singapore </li>
<li>	Licheng Jiao, Xidian University, China</li>
<li>	Maoguo Gong, Xidian University, China</li>
<li>	Jing Liu, Xidian University, China</li>
<li>	Dunwei Gong,  China University of Mining and Technology, China</li>
<li>	Xiaoyan Sun,  China University of Mining and Technology, China</li>
<li>	Ling Wang, Tsinghua University, China</li>
<li>	Mengjie Zhang, Victoria University of Wellington, New Zealand</li>
<li>	Yanfei Zhong, Wuhan University, China</li>
<li>	Yanqing Zhang, Georgia State University, USA</li>
<!-- <li>	Yaochu Jin, University of Surrey, UK</li> -->
<li>	Ying-Ping Chen, National Chiao Tung University, Taiwan</li>
<li>	Yong Wang, Central South University of China, China </li>
<li>	Zhen Ji, Shenzhen University, China</li>
<li>	Erik Goodman, Michigan State University, USA</li>
<li>	Gary Yen, Oklahoma State University, USA</li>
<li>	Weihua Sheng, Oklahoma State University, USA</li>
<li>	Jinchao Liu, VisionMetric, UK</li>
<li>	Stephen L. Smith, University of York, UK</li>
<li>	Sofiane Achiche, Ecole Polytechnique de Montréal, Canada</li>
<li>	Ilmar Santos, Technical University of Denmark, Denmark</li>
<li>	Hui Cheng, Liverpool John Moores University, UK</li>
<li>	Shengxiang Yang, De Montfort University, UK </li>
<li>	Ong Yew Soon, Nanyang Technological University</li>
<li>	Zexuan Zhu, Shenzhen University</li>
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